Agriculture, a cornerstone of global food security, faces significant challenges from crop diseases, which can severely impact yields and farmer livelihoods. Traditional methods for disease identification are often labour-intensive and lack real-time diagnostic capabilities. In response to these challenges, this project presents the "AI-Infused Plant PathoGuard," a smart device designed for the real-time identification of diseases in crops using advanced artificial intelligence (AI) techniques. The AI-Infused Plant PathoGuard leverages cutting-edge machine learning algorithms (CNN), specifically trained using the Edge Impulse platform
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